60 citations · 353 across the 40 of their papers we have counts for
7 papers · 1 filter
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
Bishal Thapaliya, Robyn Miller, Jiayu Chen +8
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for understanding human neural mechanisms of intricate cognitive processes. Most rs…
A deep learning model for data-driven discovery of functional connectivity
Usman Mahmood, Zening Fu, Vince Calhoun +1
Functional connectivity (FC) studies have demonstrated the overarching value of studying the brain and its disorders through the undirected weighted graph of fMRI correlation matri…
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning
Biao Cai, Gemeng Zhang, Aiying Zhang +6
The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the con…
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
Aiying Zhang, Gemeng Zhang, Biao Cai +4
Emotion perception is essential to affective and cognitive development which involves distributed brain circuits. The ability of emotion identification begins in infancy and contin…
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Wenxing Hu, Xianghe Meng, Yuntong Bai +7
Multimodal fusion benefits disease diagnosis by providing a more comprehensive perspective. Developing algorithms is challenging due to data heterogeneity and the complex within- a…
Brain Maturation Study during Adolescence Using Graph Laplacian Learning Based Fourier Transform
Junqi Wang, Li Xiao, Tony W. Wilson +3
Objective: Longitudinal neuroimaging studies have demonstrated that adolescence is the crucial developmental epoch of continued brain growth and change. A large number of researche…